Classification of Emphysema Subtypes: Comparative Assessment of Local Binary Patterns and Related Texture Features

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ISSN Print: 2169-2475
ISSN Online: 2169-2483
www.scirp.org/journal/act
E-mail: act@scirp.org

Citations

"Classification of Emphysema Subtypes: Comparative Assessment of Local Binary Patterns and Related Texture Features"
written by Mizuho Nishio, Hisanobu Koyama, Yoshiharu Ohno, Kazuro Sugimura,
published by Advances in Computed Tomography, Vol.4 No.3, 2015

has been cited by the following article(s):

[1]	Feature selection and classification using bio‐inspired algorithms for the diagnosis of pulmonary emphysema subtypes
	International Journal of …, 2023

[2]	Computer-Aided Diagnosis system for diagnosis of pulmonary emphysema using bio-inspired algorithms
	2020

[3]	Unapređenje procesiranja medicinskih digitalnih slika pomocu algoritama inteligencije rojeva
	2019

[4]	Support vector machine optimized by firefly algorithm for emphysema classification in lung tissue CT images
	2017

[5]	CT image registration-based lung mechanics in COPD
	ProQuest Dissertations Publishing, 2016

[1]	Feature selection and classification using bio‐inspired algorithms for the diagnosis of pulmonary emphysema subtypes International Journal of Imaging Systems and Technology, 2023 DOI:10.1002/ima.22867

[2]	Feature selection and classification using bio‐inspired algorithms for the diagnosis of pulmonary emphysema subtypes International Journal of Imaging Systems and Technology, 2023 DOI:10.1002/ima.22867

[3]	Computer-Aided Diagnosis system for diagnosis of pulmonary emphysema using bio-inspired algorithms Computers in Biology and Medicine, 2020 DOI:10.1016/j.compbiomed.2020.103940

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